Investors seeking China exposure often weigh thematic opportunities in clean energy against the digital economy. KGRN and KWEB both target Chinese equities but pursue different segments of the market. They do not compete directly; instead, they offer complementary yet distinct strategies for investors interested in China’s long-term structural shifts toward sustainability and technological self-reliance. This comparison highlights how each fund’s index methodology, holdings concentration, and cost structure shape its role in a diversified portfolio.
KGRN is a passively managed exchange-traded fund that seeks to track the MSCI China IMI Environment 10/40 Index. The index selects Chinese companies deriving at least 50% of revenue from environmentally beneficial products and services across four themes: energy efficiency, alternative energy, sustainable water, and pollution prevention. The fund typically holds 48–53 securities and maintains an expense ratio of 0.79%. Top holdings as of late August 2026 include BYD Co Ltd, NIO Inc, Li Auto Inc, XPeng Inc, and China Yangtze Power Co Ltd, reflecting substantial exposure to electric vehicles and power generation. Sector allocations emphasize consumer cyclical and industrials alongside utilities. The fund employs full physical replication and rebalances according to the index methodology, providing a focused vehicle for the energy transition theme.
KWEB is a passively managed exchange-traded fund that seeks to track the CSI Overseas China Internet Index. The index comprises China-based companies whose primary businesses center on internet and internet-related technology, with securities listed on exchanges including Hong Kong, NASDAQ, and NYSE. The fund typically holds around 34 names and carries an expense ratio of 0.69%. Top holdings as of late August 2026 include Tencent Holdings Ltd, Alibaba Group Holding Ltd, PDD Holdings Inc, Meituan, and NetEase Inc. Sector exposure concentrates in consumer discretionary and communication services. The fund uses physical replication and follows the index’s free-float market-capitalization weighting with periodic rebalancing, delivering concentrated access to China’s digital economy leaders.
Both ETFs operate within China’s evolving policy landscape, where government priorities include carbon neutrality targets by 2060 and technological self-reliance outlined in successive Five-Year Plans. The clean technology sector benefits from expanding renewable energy infrastructure and electric vehicle adoption, while the internet sector gains from middle-class consumption growth and advancements in artificial intelligence and cloud computing. Macro drivers such as interest rate expectations, regulatory developments in data security and antitrust, and global supply chain shifts influence capital flows into both themes. Risks include geopolitical tensions, domestic economic cycles, and sector-specific regulatory interventions that can affect company valuations across the broader Chinese equity market.
In recent market cycles, KGRN has exhibited sensitivity to policy support for renewables and commodity price movements tied to battery materials. KWEB has shown greater responsiveness to consumer spending trends, e-commerce volumes, and earnings momentum among platform companies. Volatility differences arise from holdings concentration: KWEB’s narrower set of names can amplify sector rotation effects, while KGRN’s inclusion of utilities provides a modest stabilizing element during periods of energy transition emphasis. Relative positioning depends on whether investors prioritize exposure to the energy transition or digital consumption themes amid shifting macroeconomic conditions.
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Based on structural characteristics, KWEB currently presents a modestly more favorable profile for the AI screener due to its lower expense ratio, established liquidity, and alignment with broad digital economy momentum. While KGRN offers compelling thematic purity in clean technology, the combination of cost efficiency and diversification within the internet sector gives KWEB a probabilistic edge in relative positioning under prevailing market conditions. This assessment reflects observable fund attributes rather than short-term price movements.
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| KGRN | KWEB | KGRN / KWEB | |
| Gain YTD | -11.300 | -21.703 | 52% |
| Net Assets | 52.1M | 5.3B | 1% |
| Total Expense Ratio | 0.79 | 0.70 | 113% |
| Turnover | 35.00 | 45.00 | 78% |
| Yield | 0.94 | 7.43 | 13% |
| Fund Existence | 9 years | 13 years | - |
| KGRN | KWEB | |
|---|---|---|
| RSI ODDS (%) | N/A | 3 days ago 86% |
| Stochastic ODDS (%) | 3 days ago 83% | 3 days ago 90% |
| Momentum ODDS (%) | 3 days ago 88% | 3 days ago 90% |
| MACD ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| TrendWeek ODDS (%) | 3 days ago 88% | 3 days ago 90% |
| TrendMonth ODDS (%) | 3 days ago 83% | 3 days ago 84% |
| Advances ODDS (%) | 25 days ago 86% | 20 days ago 87% |
| Declines ODDS (%) | 11 days ago 90% | 3 days ago 90% |
| BollingerBands ODDS (%) | 3 days ago 90% | 3 days ago 86% |
| Aroon ODDS (%) | 3 days ago 82% | 3 days ago 86% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| URNJ | 26.10 | 1.92 | +7.94% |
| Sprott Junior Uranium Miners ETF | |||
| ETG | 23.99 | 0.11 | +0.46% |
| Eaton Vance Tax-Advantaged Global Dividend Income Fund | |||
| MARM | 34.43 | 0.03 | +0.09% |
| FT Vest U.S. Eq Max Buffr ETF - Mar | |||
| AIPO | 31.23 | N/A | N/A |
| Defiance AI & Power Infrastructure ETF | |||
| UCIB | 37.07 | -0.09 | -0.25% |
| UBS ETRACS BgCstMtCdy(CMCI)TtlRetETNSerB | |||
A.I.dvisor indicates that over the last year, KGRN has been closely correlated with XPEV. These tickers have moved in lockstep 70% of the time. This A.I.-generated data suggests there is a high statistical probability that if KGRN jumps, then XPEV could also see price increases.
| Ticker / NAME | Correlation To KGRN | 1D Price Change % | ||
|---|---|---|---|---|
| KGRN | 100% | +0.46% | ||
| XPEV - KGRN | 70% Closely correlated | +1.58% | ||
| NIO - KGRN | 63% Loosely correlated | +2.21% | ||
| LI - KGRN | 61% Loosely correlated | +1.01% | ||
| NIU - KGRN | 54% Loosely correlated | -2.50% | ||
| KC - KGRN | 51% Loosely correlated | -2.45% | ||
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A.I.dvisor indicates that over the last year, KWEB has been closely correlated with BABA. These tickers have moved in lockstep 89% of the time. This A.I.-generated data suggests there is a high statistical probability that if KWEB jumps, then BABA could also see price increases.
| Ticker / NAME | Correlation To KWEB | 1D Price Change % | ||
|---|---|---|---|---|
| KWEB | 100% | -0.11% | ||
| BABA - KWEB | 89% Closely correlated | -8.57% | ||
| JD - KWEB | 83% Closely correlated | -0.14% | ||
| BILI - KWEB | 82% Closely correlated | +2.40% | ||
| BIDU - KWEB | 80% Closely correlated | +1.35% | ||
| KC - KWEB | 79% Closely correlated | -2.45% | ||
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